About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 – December 1, 2019, Proceedings, Part I

Research Article

Pricing-Based Partial Computation Offloading in Mobile Edge Computing

Download(Requires a free EAI acccount)
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-41114-5_1,
        author={Lanhui Li and Tiejun Lv},
        title={Pricing-Based Partial Computation Offloading in Mobile Edge Computing},
        proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part I},
        proceedings_a={CHINACOM},
        year={2020},
        month={2},
        keywords={Mobile edge computing Partial computation offloading MEC server Pricing scheme},
        doi={10.1007/978-3-030-41114-5_1}
    }
    
  • Lanhui Li
    Tiejun Lv
    Year: 2020
    Pricing-Based Partial Computation Offloading in Mobile Edge Computing
    CHINACOM
    Springer
    DOI: 10.1007/978-3-030-41114-5_1
Lanhui Li1,*, Tiejun Lv1
  • 1: Beijing University of Posts and Telecommunications
*Contact email: lilanhui@bupt.edu.cn

Abstract

For mobile devices (MDs) and Internet of Things (IoT) devices with limited computing capacity and battery, offloading part of tasks to the mobile edge computing (MEC) server is attractive. In this paper, we propose a joint partial computation offloading and pricing scheme in a multi-user MEC system. Firstly, we establish MD’s cost model and MEC server’s revenue model in terms of money. Secondly, we investigate MD’s cost minimization partial offloading strategy to jointly control MD’s task allocation, local CPU frequency and the amount of computational resource blocks (CRBs) requested. Finally, we formulate the revenue maximization problem for MEC server with limited computing capacity, a heuristic algorithm is proposed for MEC server to find the optimal service price. Numerical results verify the effectiveness of our proposed scheme in cost saving and pricing.

Keywords
Mobile edge computing Partial computation offloading MEC server Pricing scheme
Published
2020-02-27
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-41114-5_1
Copyright © 2019–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL